<p>Secure data sharing is crucial in the healthcare sector to improve patient care and support medical research, while ensuring privacy and data integrity. Conventional centralized systems for data sharing are prone to security breaches, unauthorized access, and single points of failure, which can compromise the entire system. Blockchain technology addresses these issues by offering a decentralized, tamper-proof framework to enhance the security of healthcare data management. This research introduces an innovative blockchain-based access control system that utilizes Attention-based Long Short-Term Memory (Attn_LSTM) for more secure and efficient access control. To further strengthen data security, a hybrid encryption approach combining Elliptic Curve Cryptography (ECC) and Advanced Encryption Standard (AES) is employed. The proposed solution takes advantage of blockchain’s immutability, distributed nature, and deep learning-driven access control to create a robust, privacy-preserving framework for secure healthcare data sharing. Experimental results show that the system effectively improves data security, scalability, and resilience against cyber threats.</p> Graphical abstract <p></p>